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import gradio as gr
from easygui import msgbox
import subprocess
import os
from .common_gui import (
get_saveasfilename_path,
get_any_file_path,
get_file_path,
)
folder_symbol = '\U0001f4c2' # 📂
refresh_symbol = '\U0001f504' # 🔄
save_style_symbol = '\U0001f4be' # 💾
document_symbol = '\U0001F4C4' # 📄
PYTHON = 'python3' if os.name == 'posix' else './venv/Scripts/python.exe'
def merge_lora(
lora_a_model,
lora_b_model,
ratio,
save_to,
precision,
save_precision,
):
# Check for caption_text_input
if lora_a_model == '':
msgbox('Invalid model A file')
return
if lora_b_model == '':
msgbox('Invalid model B file')
return
# Check if source model exist
if not os.path.isfile(lora_a_model):
msgbox('The provided model A is not a file')
return
if not os.path.isfile(lora_b_model):
msgbox('The provided model B is not a file')
return
ratio_a = ratio
ratio_b = 1 - ratio
run_cmd = f'{PYTHON} "{os.path.join("networks","merge_lora.py")}"'
run_cmd += f' --save_precision {save_precision}'
run_cmd += f' --precision {precision}'
run_cmd += f' --save_to "{save_to}"'
run_cmd += f' --models "{lora_a_model}" "{lora_b_model}"'
run_cmd += f' --ratios {ratio_a} {ratio_b}'
print(run_cmd)
# Run the command
if os.name == 'posix':
os.system(run_cmd)
else:
subprocess.run(run_cmd)
###
# Gradio UI
###
def gradio_merge_lora_tab():
with gr.Tab('Merge LoRA'):
gr.Markdown('This utility can merge two LoRA networks together.')
lora_ext = gr.Textbox(value='*.safetensors *.pt', visible=False)
lora_ext_name = gr.Textbox(value='LoRA model types', visible=False)
with gr.Row():
lora_a_model = gr.Textbox(
label='LoRA model "A"',
placeholder='Path to the LoRA A model',
interactive=True,
)
button_lora_a_model_file = gr.Button(
folder_symbol, elem_id='open_folder_small'
)
button_lora_a_model_file.click(
get_file_path,
inputs=[lora_a_model, lora_ext, lora_ext_name],
outputs=lora_a_model,
show_progress=False,
)
lora_b_model = gr.Textbox(
label='LoRA model "B"',
placeholder='Path to the LoRA B model',
interactive=True,
)
button_lora_b_model_file = gr.Button(
folder_symbol, elem_id='open_folder_small'
)
button_lora_b_model_file.click(
get_file_path,
inputs=[lora_b_model, lora_ext, lora_ext_name],
outputs=lora_b_model,
show_progress=False,
)
with gr.Row():
ratio = gr.Slider(
label='Merge ratio (eg: 0.7 mean 70% of model A and 30% of model B',
minimum=0,
maximum=1,
step=0.01,
value=0.5,
interactive=True,
)
with gr.Row():
save_to = gr.Textbox(
label='Save to',
placeholder='path for the file to save...',
interactive=True,
)
button_save_to = gr.Button(
folder_symbol, elem_id='open_folder_small'
)
button_save_to.click(
get_saveasfilename_path,
inputs=[save_to, lora_ext, lora_ext_name],
outputs=save_to,
show_progress=False,
)
precision = gr.Dropdown(
label='Merge precision',
choices=['fp16', 'bf16', 'float'],
value='float',
interactive=True,
)
save_precision = gr.Dropdown(
label='Save precision',
choices=['fp16', 'bf16', 'float'],
value='float',
interactive=True,
)
convert_button = gr.Button('Merge model')
convert_button.click(
merge_lora,
inputs=[
lora_a_model,
lora_b_model,
ratio,
save_to,
precision,
save_precision,
],
show_progress=False,
)
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